| 1. IDENTIFICATION & BASIC DESCRIPTION |
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Cohort name
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MAUCO - The Maule Cohort
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Country
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Please provide any other information on the cohort location/s if needed
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Molina County, Maule Region
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Name
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Catterina Ferreccio
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Institution
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Pontificia Universidad Católica de Chile
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Email
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cferrec@med.puc.cl
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Do you want to add another Principal Investigator of the Cohort
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- Add another Principal Investigator of the cohort
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Name
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Sandra Cortes
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Institution
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Pontificia Universidad Católica de Chile
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Email
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scortesn@uc.cl
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Phone
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+56992142381
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Personal website
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https://orcid.org/0000-0003-3293-1419
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Website
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Name of committee
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Comité Ético Científico CEC Med UC, Pontificia Universidad Católica de Chile
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Upload files
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Data access policy (briefly describe)
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To access cohort data, please complete the attached application form and send to Catterina Ferreccio cferrec@med.uc.cl, for evaluation by the MAUCO Advisory Board.
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Is this cohort part of a consortium? (name consortium)
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IHCC International HundredK+ Cohorts Consortium, AGRICOH Consortium of Agricultural Cohort Studies
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Upload files
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Participation in pooled analyses
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- The cohort is potentially interested in participating in pooled analyses of (European) occupational cohort studies (note pooled analyses also includes remote decentralized analyses that would not require any transfer of primary data as well as meta-analyses).
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Main aim of cohort, please briefly describe the main objectives of the cohort
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The main objectives of MAUCO are: (i) to analyze the natural history of chronic diseases, where outcomes of interest include cardiovascular disease, cancer, mental health, ageing, quality of life and respiratory diseases among others, and risk factors of interest include socioeconomic, lifestyle, environmental, genetic and ethnic factors; and (ii) to build institutional capacity for advanced research on chronic diseases, including a biobank.
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Study design (please select as many as appropriate)
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Source population (please select as many as appropriate)
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- General population: Regional
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Comparators (please select as many as appropriate)
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- Internal study population
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Inclusion criteria
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Age 38 to 74 years, residency in Molina county for at least 6 months in the past year and plans to remain there for the next 3 years.
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Exclusion criteria
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Inability to provide informed consent autonomously, diagnosis of a terminal illness.
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Enrollment
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Ongoing
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Age range at entry (main cohort)
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| Minimum |
Maximum |
Mean |
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74 |
53.4 |
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Men at enrollment
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4305 enrolled, aproximately 4600 expected
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Women at enrollment
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5156 enrolled, aproximately 5400 expected
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Children (<18 years) at enrollment
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0
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Men at last follow-up
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3199 first follow-up (ongoing), 1342 second follow-up (ongoing)
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Women at last follow-up
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4083 first follow-up (ongoing), 2784 second follow-up (ongoing)
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Children (<18 years) at last follow-up
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0
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| 2. OUTCOME FOLLOW-UP |
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Type of data for outcome follow-up (please select as many as appropriate)
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- Active (contact with participants)
- Death certificate
- Hospital / physician diagnoses
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Active (contact with participants) (specify)
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- Follow-up visits are planned at 2, 4 and 8 years after enrollment, as possible during the 10-year follow-up.
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Death certificate (specify)
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- Cause of death is obtained from death certificates for all participants who die during the follow-up period.
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Hospital / Physician diagnoses (specify)
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- When a participants is hospitalized in a regional hospital, medical records are reviewed for diagnosis.
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First follow-up period (provide year)
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2017-2024
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Last follow-up period (provide year)
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2022-2024
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Number of follow-ups after baseline (provide number)
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1-3
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| 3. OCCUPATIONAL EXPOSURES |
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Source of exposure data collected (please select as many as appropriate)
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- Questionnaire, Personal (Self-reporting or interview)
- Questionnaire, Personal (Occupational/industry modules)
- Industry-based questionnaire
- Environmental samples
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Occupational history/time frame
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Lifetime
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Occupational coding performed
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Yes
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Occupation (specify coding system used)
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Industry (specify coding system used)
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Types of exposure measurements
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- Biomarkers (see also section 5)
- Workplace sampling
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Methods for exposure assessment (please select as many as appropriate)
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- Data modelling
- GIS (other spatial methods)
- Expert assessment
- Job Exposure Matrix
- Measurements (external sampling, biomarkers)
- Self-report
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Specify: Job Exposure Matrix / Other
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Pesticides
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Website
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https://www.usgs.gov/centers/oki-water/science/pesticides?qt-science_center_objects=0#qt-
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Main categories
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- Dusts and fibres
- Pesticides
- Metals and metal oxides
- Other chemicals
- Biological factors
- Ergonomics, physical workload, and injury related
- Psychosocial domains
- Organisation of work including working time
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Dusts and fibres | Fibres
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- Asbestos (any form of asbestos chrysotile, crocidolite, tremolite, anthophyllite, etc. or asbestos-containing material)
- Fibres (not specified)
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Dusts and fibres | Inorganic dusts
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Dusts and fibres | Organic dusts
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- Animal dust (from living animals or hairs of animals, e.g. raw wool, furs of minks, etc.)
- Flour dust
- Organic dusts (not specified)
- Plant dust (includes plants, fruits, vegetables, plant-borne materials such as natural rubber)
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Pesticides | Fungicides
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- Mancozeb
- Maneb
- Other (specify)
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Pesticides | Fungicides | Specify: Other
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metals Cr-As-Cu
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Pesticides | Herbicides
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- 2,4-D or 2,4,5-T
- Atrazine
- Glyphosate
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Pesticides | Insecticides
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- Chlorpyriphos
- Deltamethrin
- Dimethoate
- Organophosphates, not specified
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Metals and metal oxides
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- Arsenic all types
- Chromium (metallic chromium, Cr(iii), Cr(vi) and all compounds)
- Copper
- Lead and all compounds
- Nickel and all compounds
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Biological factors | Bacteria
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- Helicobacter Pylori
- Methicillin-Resistant Staphylococcus Aureus (MRSA)
- Mycobacterium tuberculosis
- Other (specify)
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Biological factors | Bacteria | Specify: Other
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SARS-CoV-2
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Biological factors | Moulds-fungi
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Biological factors | Zoonotic
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Ergonomics, physical workload, and injury related
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- Physical work load (e.g. heavy lifting of people or objects, pushing/pulling)
- Repetitive work movements
- Sedentary work
- Standing work
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Psychosocial domains | Job task characteristics/organization of work
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- Job control, autonomy
- Psychological job demands
- Social support at work from supervisors
- Work engagement
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Organisation of work including working time | Employment conditions
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- Contract duration
- Job insecurity
- Lack of access to benefits, collective bargaining, social protection
- Low pay
- Work contract type (i.e. permanent, term-contract, subcontract, temporary)
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Organisation of work including working time | Working hours
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- Duration
- Regular/variable
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| 4. OUTCOMES EVALUATED |
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Baseline - type of outcome data collected (select more than one if applicable)
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- Clinical/functional evaluation, e.g. spirometry, ECGs (specify)
- Death certificates
- Medical records
- Questionnaire, individual (self-recording or interview)
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Specify: Clinical/functional evaluation, e.g. spirometry, ECGs
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lipidic profile - biochemical profile
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Follow-up - type of outcome data collected (select more than one if applicable)
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- Biomarker (specify)
- Clinical/functional evaluation, e.g. spirometry, ECGs (specify)
- Death certificates
- Questionnaire, individual (self-recording or interview)
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Specify: Clinical/functional evaluation, e.g. spirometry, ECGs
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peack flow - ECG - echocardiogram
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Specify: Biomarker
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lipidic profile - biochemical profile
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Outcome type (please select as many as appropriate)
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Diagnostic groups based on ICD10
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- C + D Neoplasms
- E Endocrinological disease
- E Malnutrition and obesity
- E Metabolism disease
- F Mental disorders
- H Disorders of the eye
- H Disorders of the ear
- I Heart disease
- I Cerebrovascular diseases
- J Respiratory disease
- K Diseases of oesophagus, stomach, duodenum and appendix
- N Kidney, renal pelvis disease
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C + D Neoplasms
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- Carcinoma in situ
- Leukemia
- Malignant neoplasms gastro intes. system including liver, gall bladder, pancreas
- Malignant neoplasm lung
- Mesothelioma
- Other malignant neoplasm of respiratory and intrathoracic organs, heart, pleura
- Malignant neoplasm of bone and articular cartilage
- Malignant neoplasm of breast
- Malignant neoplasms, females gynecological
- Malignant neoplasm of urinary tract and kidney
- Malignant neoplasms of thyroid and other endocrine glands
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E Endocrinological disease
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- Thyroidea
- Diabetes mellitus
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E Malnutrition and obesity
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E Metabolism disease
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- Disorders of sphingolipid metabolism and other lipid storage disorders
- Hypercholesterolemia
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F Mental disorders
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- Dementia
- Mood [affective] disorders
- Depression
- Other mental disorder, not otherwise specified
- Other, please state
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I Heart disease
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- Hypertensive diseases
- Acute myocardial infarction
- Chronic ischaemic heart disease
- Pulmonary embolism
- Cardiomyopathy
- Atrioventricular arrhythmia
- Heart failure
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I Cerebrovascular diseases
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- Cerebral infarction
- Stroke, not specified as haemorrhage or infarction
- Atherosclerosis
- Arterial embolism and thrombosis
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J Respiratory disease
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- Viral pneumonia
- Pneumonia due to other infectious organisms, not elsewhere classified
- Acute bronchitis
- Acute bronchiolitis
- Chronic rhinitis, nasopharyngitis and pharyngitis
- Chronic Bronchitis
- Emphysema
- Chronic obstructive pulmonary disease (COPD)
- Asthma
- Adult respiratory distress syndrome
- Pulmonary edema
- Respiratory failure, not elsewhere classified
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K Diseases of oesophagus, stomach, duodenum and appendix
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- Oesophagitis
- Gastro-oesophageal reflux disease
- Other diseases of oesophagus
- Gastric ulcer
- Duodenal ulcer
- Peptic ulcer, site unspecified
- Gastrojejunal ulcer
- Gastritis and duodenitis
- Dyspepsia
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N Kidney, renal pelvis disease
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- Nephropathy
- Renal failure
- Urolithiasis
- Cystitis
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Other health related outcomes
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- Lifestyle change
- Quality of life/wellbeing
- Sickness absence
- Work participation
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| 5. BIOLOGICAL SAMPLES & ANALYSIS |
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Biological samples collected
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Biological processing
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Genetic and other lab analyses
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Comments
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Biobank available for measurement of specific biomarkers
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| 6. Other Information |
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- Alcohol
- Anthropometry
- Demographics
- Diet
- Education
- Environmental, air pollution
- Environmental other (specify)
- Medical history
- Physical exercise
- Residential history
- Socioeconomic status
- Smoking
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Specify: Environmental other
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pesticides and metals in biomarkers
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Possibility for linkage to data registries/data enrichment via data linkage
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- Cancer incidence
- Hospital discharge
- Mortality register
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Please describe plans that are funded or most likely to be funded
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We are applying for funding on pesticides exposure and some biomarkers in the group of agricultural workers related compared with workers from other areas
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